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Prof. Taeho Jung (정태호)

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A poster accepted by HotSos 2020

March 3 , 2020 May 25, 2021

Taeho

  • Ryan Karl, Jonathan Takeshita, Taeho Jung
    “Using Intel SGX to Improve Private Neural Network Training and Inference”
    7th Annual Hot Topics in the Science of Security (HoTSoS) Symposium, 2020
Posted in 2020, HotSosTagged Deep Learning, Privacy, TEE

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A Work-in-Progress paper accepted by HotSos 2020
A paper accepted by ICBC 2020

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Accountability (2) Awarded Paper (3) Blockchain (11) Cloud (2) Consensus (2) Control Theory (3) COVID19 (1) Crowd sensing (2) Data Mining (5) Data Provenance (6) Data Sharing (6) Data Trading (3) Deep Learning (10) Electric Vehicle (1) Fairness (1) Fault Tolerance (1) Game Theory (2) Graph (2) Hardware/Architecture (2) IoT (4) Lattice-based cryptography (2) Manipulation (1) MDP (3) Mobile computing (8) MPC (2) Navigation (2) Network (4) Oracle (1) Photo (3) Post-Quantum Cryptography (2) Privacy (44) PSI (1) Safety (1) SDN (2) Secure Aggregation/Private Stream Aggregation (8) Security (23) Smart grid (1) Smartphone (7) Social mining (1) Somewhat homomorphic encryption (2) TEE (7) TPM (1) Traceability (3) Video (2) Wearable device (1)

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Prof. Taeho Jung (정태호)

351 Fitzpatrick Hall, University of Notre Dame
Notre Dame, IN 46556 USA
Phone (574) 631-8322 tjung@nd.edu

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